Browse newsletters about ai research

Interconnects AI

by Nathan Lambert

Nathan Lambert, an Ai2 research scientist, breaks down the latest AI models, training, and tech trajectory, offering real-world insights from his frontier model experience.

Ahead of AI

by Sebastian Raschka, PhD

Sebastian Raschka, PhD, an LLM Research Engineer, offers clear, insightful updates on the latest AI, machine learning, and deep learning research trends.

Sources

by Alex Heath

Veteran tech reporter Alex Heath's newsletter, Sources, delivers original reporting, analysis, and interviews on the AI race three to four times weekly.

HT Newsletters

by HT Newsletters

HT Newsletters is a newsletter published by its author, HT Newsletters.

Deep (Learning) Focus

by Cameron R. Wolfe, Ph.D.

Deep (Learning) Focus simplifies cutting-edge AI research. It covers one topic, breaking down papers for beginners and experts.

Adaline Labs

by Adaline

Adaline Labs explores the forefront of AI and large language models (LLMs), offering in-depth insights, practitioner stories, and actionable ideas for building better LLM-powered products.

Last Week in AI

by Last Week in AI

Last Week in AI provides weekly summaries of AI news, articles, and interviews. It delivers accessible, informed coverage of AI trends.

Deep Learning Weekly

by Deep Learning Weekly

Deep Learning Weekly aggregates news, industry developments, and research in deep learning, with sections for learning, MLOps, and new publications.

The Batch

The Batch offers weekly, authoritative AI news, insights, and research summaries. Keeps practitioners and enthusiasts updated on this rapidly changing field.

The Gradient

The Gradient helps you learn about AI and fosters community discussion through its magazine, podcast, and more. A non-profit run by AI researchers.

DeepMind's "The Batch" delivers essential updates on cutting-edge AI research, projects, and the broader impact of artificial intelligence.

Adversarial AI Digest provides the latest updates on vulnerabilities, defenses, and research in adversarial machine learning.